/**
 * HuggingFace Inference API provider.
 *
 * Translates between Anthropic's message format (used by the agentic loop)
 * and the OpenAI-compatible chat completions format that HuggingFace speaks.
 *
 * Supports tool calling for models that implement it (Kimi-K2.5, Qwen, etc.).
 */
import type { LLMProvider, ChatOptions, LLMResponse } from './provider.js';
/**
 * Get the context window limit for a given model.
 * Used by the adaptive budget to cap the ceiling.
 */
export declare function getModelContextLimit(modelId: string): number;
/**
 * Get the max output tokens for a given model.
 */
export declare function getModelMaxOutput(modelId: string): number;
/**
 * Name the host an error actually came from (task 147).
 *
 * This client is a generic OpenAI-format `chat/completions` client; the class
 * name is historical. Since task 147 it also serves user-registered endpoints
 * (Vultr, Together, Groq, vLLM, Ollama), so a hardcoded "HuggingFace API error"
 * would send the reader after the wrong subsystem — the exact mislabel task 118
 * recorded, where an OpenAI failure read as an HF failure and the routing was
 * blamed for a dialect bug. Task 119 deleted that label when it retired the
 * OpenAI chat branch, which was correct then and is wrong again now.
 */
export declare function chatProviderLabel(baseUrl: string): string;
export declare class HuggingFaceProvider implements LLMProvider {
    private apiKey;
    private baseUrl;
    constructor(apiKey?: string, _modelId?: string, baseUrl?: string);
    chat(options: ChatOptions): Promise<LLMResponse>;
    private _streamChat;
}
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